Zobrazeno 1 - 10
of 548
pro vyhledávání: '"Zhang Haichao"'
Publikováno v:
Digital Chinese Medicine, Vol 4, Iss 4, Pp 328-342 (2021)
Objective: To elucidate the mechanisms underlying the therapeutic effects of Fufang Ejiao Jiang (复方阿胶浆, FFEJJ) on aplastic anemia (AA) using integrated network pharmacology and serum metabolomics. Methods: Traditional Chinese Medicine Syste
Externí odkaz:
https://doaj.org/article/5bdcca9c0d064fc38a3e6b3f9438d1e4
Reward specification is one of the most tricky problems in Reinforcement Learning, which usually requires tedious hand engineering in practice. One promising approach to tackle this challenge is to adopt existing expert video demonstrations for polic
Externí odkaz:
http://arxiv.org/abs/2410.21795
Autor:
Hu, Yihan, Chai, Siqi, Yang, Zhening, Qian, Jingyu, Li, Kun, Shao, Wenxin, Zhang, Haichao, Xu, Wei, Liu, Qiang
As autonomous driving systems being deployed to millions of vehicles, there is a pressing need of improving the system's scalability, safety and reducing the engineering cost. A realistic, scalable, and practical simulator of the driving world is hig
Externí odkaz:
http://arxiv.org/abs/2407.02797
In this work, we investigate how to leverage pre-trained visual-language models (VLM) for online Reinforcement Learning (RL). In particular, we focus on sparse reward tasks with pre-defined textual task descriptions. We first identify the problem of
Externí odkaz:
http://arxiv.org/abs/2406.00645
Trajectory prediction is fundamental in computer vision and autonomous driving, particularly for understanding pedestrian behavior and enabling proactive decision-making. Existing approaches in this field often assume precise and complete observation
Externí odkaz:
http://arxiv.org/abs/2404.02227
This brief gives a set of unified Lyapunov stability conditions to guarantee the predefined-time/finite-time stability of a dynamical systems. The derived Lyapunov theorem for autonomous systems establishes equivalence with existing theorems on prede
Externí odkaz:
http://arxiv.org/abs/2404.01164
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 235, Iss 1, Pp 43-44 (2019)
C14H15ClN2O3S, monoclinic C2/c (no. 15), a = 17.0104(15) Å, b = 8.6786(7) Å, c = 20.4283(18) Å, β = 93.977(1)°, V = 3008.5(4) Å3, Z = 8, Rgt(F) = 0.0363, wRref(F2) = 0.0937, T = 298(2) K.
Externí odkaz:
https://doaj.org/article/3e6993a85a824dba8f997e2c21193079
Trajectory prediction plays a vital role in understanding pedestrian movement for applications such as autonomous driving and robotics. Current trajectory prediction models depend on long, complete, and accurately observed sequences from visual modal
Externí odkaz:
http://arxiv.org/abs/2310.06138
Camouflaged objects that blend into natural scenes pose significant challenges for deep-learning models to detect and synthesize. While camouflaged object detection is a crucial task in computer vision with diverse real-world applications, this resea
Externí odkaz:
http://arxiv.org/abs/2308.06701
Autor:
Hu, Yihan, Li, Kun, Liang, Pingyuan, Qian, Jingyu, Yang, Zhening, Zhang, Haichao, Shao, Wenxin, Ding, Zhuangzhuang, Xu, Wei, Liu, Qiang
This paper presents our 2nd place solution for the NuPlan Challenge 2023. Autonomous driving in real-world scenarios is highly complex and uncertain. Achieving safe planning in the complex multimodal scenarios is a highly challenging task. Our approa
Externí odkaz:
http://arxiv.org/abs/2306.15700